Applications Of Artificial Intelligence In Healthcare And Biomedicine

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Applications of Artificial Intelligence in Healthcare and Biomedicine

Abdulhamit Subasi
Applications of Artificial Intelligence in Healthcare and Biomedicine Book PDF

Author : Abdulhamit Subasi
Publisher : Elsevier
Page : 550 pages
File Size : 55,7 Mb
Release : 2024-03-22
Category : Computers
ISBN : 9780443223099

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Applications of Artificial Intelligence in Healthcare and Biomedicine by Abdulhamit Subasi Pdf

??Applications of Artificial Intelligence in Healthcare and Biomedicine provides ?updated knowledge on the applications of artificial intelligence in medical image analysis. The book starts with an introduction to Artificial Intelligence techniques for Healthcare and Biomedicine. In 16 chapters it presents artificial applications in Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyography (EMG), signal analysis, Computed Tomography (CT), Magnetic Resonance Imaging (MR) and Ultrasound image analysis. It equips researchers with tools for early breast cancer detection from mammograms using artificial intelligence (AI), AI models to detect lung cancer using histopathological images and a deep learning-based approach to get a proper and faster diagnosis of the Optical Coherence Tomography (OCT) images. It also presents present 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Applications of Artificial Intelligence in Healthcare and Biomedicine closes with a chapter on AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis. Provides knowledge on Artificial Intelligence algorithms for clinical data analysis Gives insights into both AI applications in biomedical signal analysis, biomedical image analysis, and applications in healthcare, including drug discovery Equips researchers with tools for early breast cancer detection

Artificial Intelligence for Health 4.0: Challenges and Applications

Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Artificial Intelligence for Health 4 0 Challenges and Applications Book PDF

Author : Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : CRC Press
Page : 420 pages
File Size : 41,8 Mb
Release : 2023-03-10
Category : Computers
ISBN : 9781000847024

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Artificial Intelligence for Health 4.0: Challenges and Applications by Rishabha Malviya,Naveen Chilamkurti,Sonali Sundram,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.

Artificial Intelligence in Medicine

David Riaño,Szymon Wilk,Annette ten Teije
Artificial Intelligence in Medicine Book PDF

Author : David Riaño,Szymon Wilk,Annette ten Teije
Publisher : Springer
Page : 431 pages
File Size : 45,5 Mb
Release : 2019-06-19
Category : Computers
ISBN : 9783030216429

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Artificial Intelligence in Medicine by David Riaño,Szymon Wilk,Annette ten Teije Pdf

This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Intelligent Systems in Medicine and Health

Trevor A. Cohen,Vimla L. Patel,Edward H. Shortliffe
Intelligent Systems in Medicine and Health Book PDF

Author : Trevor A. Cohen,Vimla L. Patel,Edward H. Shortliffe
Publisher : Springer Nature
Page : 607 pages
File Size : 43,7 Mb
Release : 2022-11-09
Category : Medical
ISBN : 9783031091087

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Intelligent Systems in Medicine and Health by Trevor A. Cohen,Vimla L. Patel,Edward H. Shortliffe Pdf

This textbook comprehensively covers the latest state-of-the-art methods and applications of artificial intelligence (AI) in medicine, placing these developments into a historical context. Factors that assist or hinder a particular technique to improve patient care from a cognitive informatics perspective are identified and relevant methods and clinical applications in areas including translational bioinformatics and precision medicine are discussed. This approach enables the reader to attain an accurate understanding of the strengths and limitations of these emerging technologies and how they relate to the approaches and systems that preceded them. With topics covered including knowledge-based systems, clinical cognition, machine learning and natural language processing, Intelligent Systems in Medicine and Health: The Role of AI details a range of the latest AI tools and technologies within medicine. Suggested additional readings and review questions reinforce the key points covered and ensure readers can further develop their knowledge. This makes it an indispensable resource for all those seeking up-to-date information on the topic of AI in medicine, and one that provides a sound basis for the development of graduate and undergraduate course materials.

Explainable AI in Healthcare

Mehul S Raval,Mohendra Roy,Tolga Kaya,Rupal Kapdi
Explainable AI in Healthcare Book PDF

Author : Mehul S Raval,Mohendra Roy,Tolga Kaya,Rupal Kapdi
Publisher : CRC Press
Page : 329 pages
File Size : 50,5 Mb
Release : 2023-07-17
Category : Medical
ISBN : 9781000906394

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Explainable AI in Healthcare by Mehul S Raval,Mohendra Roy,Tolga Kaya,Rupal Kapdi Pdf

This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering. This book will benefit readers in the following ways: Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care Investigates bridges between computer scientists and physicians being built with XAI Focuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent Initiates discussions on human-AI relationships in health care Unites learning for privacy preservation in health care

Artificial Intelligence

Sandeep Reddy
Artificial Intelligence Book PDF

Author : Sandeep Reddy
Publisher : CRC Press
Page : 287 pages
File Size : 55,7 Mb
Release : 2020-12-02
Category : Business & Economics
ISBN : 9781000216868

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Artificial Intelligence by Sandeep Reddy Pdf

The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.

Artificial Intelligence for Healthcare Applications and Management

Boris Galitsky,Saveli Goldberg
Artificial Intelligence for Healthcare Applications and Management Book PDF

Author : Boris Galitsky,Saveli Goldberg
Publisher : Academic Press
Page : 550 pages
File Size : 47,8 Mb
Release : 2022-01-13
Category : Computers
ISBN : 9780128245224

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Artificial Intelligence for Healthcare Applications and Management by Boris Galitsky,Saveli Goldberg Pdf

Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms across healthcare management. Instead of discussing AI first and then exploring its applications in healthcare afterward, the authors attack the problems in context directly, in order to accelerate the path of an interested reader toward building industrial-strength healthcare applications. Readers will be introduced to a wide spectrum of AI applications supporting all stages of patient flow in a healthcare facility. The authors explain how AI supports patients throughout a healthcare facility, including diagnosis and treatment recommendations needed to get patients from the point of admission to the point of discharge while maintaining quality, patient safety, and patient/provider satisfaction. AI methods are expected to decrease the burden on physicians, improve the quality of patient care, and decrease overall treatment costs. Current conditions affected by COVID-19 pose new challenges for healthcare management and learning how to apply AI will be important for a broad spectrum of students and mature professionals working in medical informatics. This book focuses on predictive analytics, health text processing, data aggregation, management of patients, and other fields which have all turned out to be bottlenecks for the efficient management of coronavirus patients. Presents an in-depth exploration of how AI algorithms embedded in scheduling, prediction, automated support, personalization, and diagnostics can improve the efficiency of patient treatment Investigates explainable AI, including explainable decision support and machine learning, from limited data to back-up clinical decisions, and data analysis Offers hands-on skills to computer science and medical informatics students to aid them in designing intelligent systems for healthcare Informs a broad, multidisciplinary audience about a multitude of applications of machine learning and linguistics across various healthcare fields Introduces medical discourse analysis for a high-level representation of health texts

Smart Systems for Industrial Applications

C. Venkatesh,N. Rengarajan,P. Ponmurugan,S. Balamurugan
Smart Systems for Industrial Applications Book PDF

Author : C. Venkatesh,N. Rengarajan,P. Ponmurugan,S. Balamurugan
Publisher : John Wiley & Sons
Page : 311 pages
File Size : 46,9 Mb
Release : 2022-01-07
Category : Computers
ISBN : 9781119762041

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Smart Systems for Industrial Applications by C. Venkatesh,N. Rengarajan,P. Ponmurugan,S. Balamurugan Pdf

SMART SYSTEMS FOR INDUSTRIAL APPLICATIONS The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges. The book covers a broad range of topics about AI from a multidisciplinary point of view, starting with its history and continuing on to theories about artificial vs. human intelligence, concepts, and regulations concerning AI, human-machine distribution of power and control, delegation of decisions, the social and economic impact of AI, etc. The prominent role that AI plays in society by connecting people through technologies is highlighted in this book. It also covers key aspects of various AI applications in electrical systems in order to enable growth in electrical engineering. The impact that AI has on social and economic factors is also examined from various perspectives. Moreover, many intriguing aspects of AI techniques in different domains are covered such as e-learning, healthcare, smart grid, virtual assistance, etc. Audience The book will be of interest to researchers and postgraduate students in artificial intelligence, electrical and electronic engineering, as well as those engineers working in the application areas such as healthcare, energy systems, education, and others.

Applied Artificial Intelligence

Swati V. Shinde,Varsha Bendre,D. Jude Hemanth,M.A. Balafar
Applied Artificial Intelligence Book PDF

Author : Swati V. Shinde,Varsha Bendre,D. Jude Hemanth,M.A. Balafar
Publisher : CRC Press
Page : 411 pages
File Size : 40,7 Mb
Release : 2023-09-29
Category : Technology & Engineering
ISBN : 9781000896169

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Applied Artificial Intelligence by Swati V. Shinde,Varsha Bendre,D. Jude Hemanth,M.A. Balafar Pdf

This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems,and related research. Applied Artificial Intelligence: A Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems. Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain. Part II demonstrates the recent advancements in automated medical image analysis that have opened ample research opportunities in the applications of deep learning to different diseases. Part III focuses on the use of cyberphysical systems that facilitates computing anywhere by using medical IoT and biosensors and the numerous applications of this technology in the healthcare domain. Part IV describes the different signal processing applications in the healthcare domain. It also includes the prediction of some human diseases based on the inputs in signal format. Part V highlights the scope and applications of biosensors and security aspects of biomedical images. The book will be beneficial to the researchers, industry persons, faculty, and students working in biomedical applications of computer science and electronics engineering. It will also be a useful resource for teaching courses like AI/ML, medical IoT, signal processing, biomedical engineering, and medical image analysis.

Artificial Intelligence in Healthcare and Medicine

Kayvan Najarian,Delaram Kahrobaei,Enrique Dominguez,Reza Soroushmehr
Artificial Intelligence in Healthcare and Medicine Book PDF

Author : Kayvan Najarian,Delaram Kahrobaei,Enrique Dominguez,Reza Soroushmehr
Publisher : CRC Press
Page : 300 pages
File Size : 48,7 Mb
Release : 2022-04-06
Category : Computers
ISBN : 9781000565812

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Artificial Intelligence in Healthcare and Medicine by Kayvan Najarian,Delaram Kahrobaei,Enrique Dominguez,Reza Soroushmehr Pdf

This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed description of the advancements, challenges, and opportunities of using AI in medical and health applications. Over 10 case studies are included in the book that cover topics related to biomedical image processing, machine learning for healthcare, clinical decision support systems, visualization of high dimensional data, data security and privacy, bioinformatics, and biometrics. The book is intended for clinical researchers and computational scientists seeking to understand the recent advances of AI in health and medicine. Many universities may use the book as a secondary training text. Companies in the healthcare sector can greatly benefit from the case studies covered in the book. Moreover, this book also: Provides an overview of the recent developments in clinical decision support systems, precision health, and data science in medicine Examines the advancements, challenges, and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY, and the former Chair of Cyber Security, University of York. Enrique Domínguez is a professor in the Department of Computer Science at the University of Malaga and a member of the Biomedical Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of the Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.

Computational Intelligence and Healthcare Informatics

Om Prakash Jena,Alok Ranjan Tripathy,Ahmed A. Elngar,Zdzislaw Polkowski
Computational Intelligence and Healthcare Informatics Book PDF

Author : Om Prakash Jena,Alok Ranjan Tripathy,Ahmed A. Elngar,Zdzislaw Polkowski
Publisher : John Wiley & Sons
Page : 434 pages
File Size : 47,8 Mb
Release : 2021-10-19
Category : Computers
ISBN : 9781119818687

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Computational Intelligence and Healthcare Informatics by Om Prakash Jena,Alok Ranjan Tripathy,Ahmed A. Elngar,Zdzislaw Polkowski Pdf

COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.

Handbook of Artificial Intelligence in Healthcare

Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Handbook of Artificial Intelligence in Healthcare Book PDF

Author : Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Publisher : Springer Nature
Page : 463 pages
File Size : 52,8 Mb
Release : 2021-09-17
Category : Technology & Engineering
ISBN : 9783030791612

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Handbook of Artificial Intelligence in Healthcare by Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain Pdf

This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.

Applications of Artificial Intelligence in Medicine Practice

Kyungtae Kang,Junggab Son,Hyo-Joong Suh
Applications of Artificial Intelligence in Medicine Practice Book PDF

Author : Kyungtae Kang,Junggab Son,Hyo-Joong Suh
Publisher : Mdpi AG
Page : 184 pages
File Size : 47,7 Mb
Release : 2022-06-15
Category : Technology & Engineering
ISBN : 3036544232

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Applications of Artificial Intelligence in Medicine Practice by Kyungtae Kang,Junggab Son,Hyo-Joong Suh Pdf

This book focuses on a variety of interdisciplinary perspectives concerning the theory and application of artificial intelligence (AI) in medicine, medically oriented human biology, and healthcare. The list of topics includes the application of AI in biomedicine and clinical medicine, machine learning-based decision support, robotic surgery, data analytics and mining, laboratory information systems, and usage of AI in medical education. Special attention is given to the practical aspect of a study. Hence, the inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly highlighted.

Intelligent Healthcare

Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar
Intelligent Healthcare Book PDF

Author : Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar
Publisher : Springer Nature
Page : 323 pages
File Size : 51,6 Mb
Release : 2021-07-02
Category : Technology & Engineering
ISBN : 9783030670511

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Intelligent Healthcare by Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar Pdf

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Medical Applications of Artificial Intelligence

Arvin Agah
Medical Applications of Artificial Intelligence Book PDF

Author : Arvin Agah
Publisher : CRC Press
Page : 512 pages
File Size : 47,7 Mb
Release : 2013-11-06
Category : Medical
ISBN : 9781439884331

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Medical Applications of Artificial Intelligence by Arvin Agah Pdf

Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems. After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.